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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An Automatic Channel Selection Approach for ICA-Based Motor Imagery Brain Computer Interface
Jing Ruan, Xiaopei Wu, Bangyan Zhou, et al.
Journal of Medical Systems (2018) Vol. 42, Iss. 12
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
Amardeep Singh, Ali Abdul Hussain, Sunil Pranit Lal, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2173-2173
Open Access | Times Cited: 117
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
F. Mattioli, Camillo Porcaro, Gianluca Baldassarre
Journal of Neural Engineering (2021) Vol. 18, Iss. 6, pp. 066053-066053
Open Access | Times Cited: 99
A Novel Simplified Convolutional Neural Network Classification Algorithm of Motor Imagery EEG Signals Based on Deep Learning
Li Feng, Fan He, Fei Wang, et al.
Applied Sciences (2020) Vol. 10, Iss. 5, pp. 1605-1605
Open Access | Times Cited: 89
Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications
Giuseppe Varone, Wadii Boulila, Maha Driss, et al.
Information Fusion (2023) Vol. 101, pp. 102006-102006
Closed Access | Times Cited: 27
Bidirectional feature pyramid attention-based temporal convolutional network model for motor imagery electroencephalogram classification
Xinghe Xie, Liyan Chen, Shujia Qin, et al.
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 4
ECA-ATCNet: Efficient EEG Decoding with Spike Integrated Transformer Conversion for BCI Applications
Xuhang Li, Qianzi Shen, Haitao Wang, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1894-1894
Open Access
To Explore the Potentials of Independent Component Analysis in Brain-Computer Interface of Motor Imagery
Xiaopei Wu, Bangyan Zhou, Zhao Lv, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 3, pp. 775-787
Closed Access | Times Cited: 33
Design of an automatic hybrid system for removal of eye-blink artifacts from EEG recordings
Salim Çınar
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102543-102543
Closed Access | Times Cited: 24
Tensor decomposition-based channel selection for motor imagery-based brain-computer interfaces
Ziwei Huang, Qingguo Wei
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 877-892
Closed Access | Times Cited: 10
Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals
Arash Maghsoudi
Journal of Biomedical Physics and Engineering (2022) Vol. 12, Iss. 02
Open Access | Times Cited: 12
A motor-imagery channel-selection method based on SVM-CCA-CS
Qisong Wang, Tianao Cao, Dan Liu, et al.
Measurement Science and Technology (2020) Vol. 32, Iss. 3, pp. 035701-035701
Closed Access | Times Cited: 19
A Multi-View SVM Approach for Seizure Detection from Single Channel EEG Signals
Gopal Chandra Jana, Mogullapally Sai Praneeth, Anupam Agrawal
IETE Journal of Research (2021) Vol. 69, Iss. 6, pp. 3120-3131
Closed Access | Times Cited: 16
A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions
Sadaf Khademi, Mehrnoosh Neghabi, Morteza Farahi, et al.
Elsevier eBooks (2022), pp. 23-74
Closed Access | Times Cited: 10
Classification of EEG Signals Based on Sparrow Search Algorithm-Deep Belief Network for Brain-Computer Interface
Shuai Wang, Zhiguo Luo, Shaokai Zhao, et al.
Bioengineering (2023) Vol. 11, Iss. 1, pp. 30-30
Open Access | Times Cited: 3
Meta heuristic assisted automated channel selection model for motor imagery brain computer interface
Sumanta Kumar Mandal, M. Nazma B. J. Naskar
Multimedia Tools and Applications (2022) Vol. 81, Iss. 12, pp. 17111-17130
Closed Access | Times Cited: 5
Brain-Computer Interface of Motor Imagery Using ICA and Recurrent Neural Networks
Anita Safitri, Esmeralda C. Djamal, Fikri Nugraha
(2020), pp. 118-122
Closed Access | Times Cited: 7
Spatio-time-frequency joint sparse optimization with transfer learning in motor imagery-based brain-computer interface system
Minmin Zheng, Banghua Yang, Shouwei Gao, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102702-102702
Closed Access | Times Cited: 6
Driving event-related potential-based speller by localized posterior activities: An offline study
Zheng Ma, Zexin Xie, Tianshuang Qiu, et al.
Mathematical Biosciences & Engineering (2019) Vol. 17, Iss. 1, pp. 789-801
Open Access | Times Cited: 4
Comparison Between Online and Offline Independent Component Analysis in the Context of Motor Imagery-Based Brain-Computer Interface
P. A. Viana, Romis Attux, Sarah N. Carvalho
IFMBE proceedings (2024), pp. 302-312
Closed Access
Joint multi-feature extraction and transfer learning in motor imagery brain computer interface
Miao Cai, Jie Hong
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-12
Closed Access
Independent component analysis methods for motor imagery-based brain-computer interfaces
P. A. Viana, Sarah N.C. Leite, Romis Attux
Elsevier eBooks (2024), pp. 217-250
Closed Access
Low Quality Samples Detection in Motor Imagery EEG Data by Combining Independent Component Analysis and Confident Learning
Lei Liu, Chenyun Shi, Xiaopei Wu
(2022) Vol. 131, pp. 269-274
Closed Access | Times Cited: 2
Algorithmic Analysis on Automated Channel Selection Framework for Motor Imagery BCI
Sumanta Kumar Mandal, M. Nazma B. J. Naskar
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2021)
Closed Access | Times Cited: 2
Combination of NMF and IVA for improving the quality of EOG signals
Wenhui Sun, Bing Xue, Jingyi Xue, et al.
2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP) (2020), pp. 695-699
Closed Access
EEG Artifact Removal Based on Brain Dipoles' Regions Using ICA and Dipfit in Motor Imagery Tasks
Neda Abdollahpour, Mohammadreza Yazdchi, Zahra Baharlouei
(2022), pp. 22-27
Closed Access
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